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Learning Types

56,253 papers (3 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)

Papers per year

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20
220
477
4,652
9,258
2000
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Papers (including subtopics)

Regret Lower Bound and Optimal Algorithm in Dueling Bandit Problem COLT 2015 Regret Lower Bound and Optimal Algorithm in Finite Stochastic Partial Monitoring NeurIPS 2015 Regularization Path of Cross-Validation Error Lower Bounds NeurIPS 2015 Regularized Policy Gradients: Direct Variance Reduction in Policy Gradient Estimation ACML 2015 Regularizing Max-Margin Exemplars by Reconstruction and Generative Models CVPR 2015 Reified Context Models ICML 2015 Relaxed Multiple-Instance SVM With Application to Object Discovery ICCV 2015 Relaxing From Vocabulary: Robust Weakly-Supervised Deep Learning for Vocabulary-Free Image Tagging ICCV 2015 Reliable and Scalable Variational Inference for the Hierarchical Dirichlet Process AISTATS 2015 Removing Rain From a Single Image via Discriminative Sparse Coding ICCV 2015 Response-Based Approachability with Applications to Generalized No-Regret Problems JMLR 2015 Revenue Optimization against Strategic Buyers NeurIPS 2015 Risk-Sensitive and Robust Decision-Making: a CVaR Optimization Approach NeurIPS 2015 Robust Cost Sensitive Support Vector Machine AISTATS 2015 Robust Feature-Sample Linear Discriminant Analysis for Brain Disorders Diagnosis NeurIPS 2015 Robust Heart Rate Measurement From Video Using Select Random Patches ICCV 2015 Robust Portfolio Optimization NeurIPS 2015 Robust Regression via Hard Thresholding NeurIPS 2015 Robust Trajectory Optimization: A Cooperative Stochastic Game Theoretic Approach RSS 2015 Robust Trajectory Optimization Under Frictional Contact with Iterative Learning RSS 2015 Rotating Your Face Using Multi-Task Deep Neural Network CVPR 2015 S2: An Efficient Graph Based Active Learning Algorithm with Application to Nonparametric Classification COLT 2015 Saliency-Aware Geodesic Video Object Segmentation CVPR 2015 Sample Complexity of Episodic Fixed-Horizon Reinforcement Learning NeurIPS 2015 Scalable Deep Poisson Factor Analysis for Topic Modeling ICML 2015